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Image processing and enhancement techniques for improving the geologic utility of digital satellite radar images are reviewed. Preprocessing techniques such as mean and variance correction on a range or azimuth line by line basis to provide uniformly illuminated swaths, median value filtering for four-look imagery to eliminate speckle, and geometric rectification using a priori elevation data. Examples are presented of application of preprocessing methods to Seasat and Landsat data, and Seasat SAR imagery was coregistered with Landsat imagery to form composite scenes. A polynomial was developed to distort the radar picture to fit the Landsat image of a 90 x 90 km sq grid, using Landsat color ratios with Seasat intensities. Subsequent linear discrimination analysis was employed to discriminate rock types from known areas. Seasat additions to the Landsat data improved rock identification by 7%.

Publication Date:

Jul 01, 1982

Document ID:

19820055679

(Acquired Nov 30, 1995)

Accession Number:

82A39214

Subject Category:

EARTH RESOURCES AND REMOTE SENSING

Document Type:

Journal Article

Publisher Information:

United States

Financial Sponsor:

NASA; United States

Organization Source:

Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United StatesMobil Research and Development Corp.; Dallas, TX, United States